ASUSTeK COMPUTER INC. ROG Strix G16 G614FR_G614FR
Geekbench ML Score
3140
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 10 2025 01:55 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G16 G614FR_G614FR |
| Motherboard | ASUSTeK COMPUTER INC. G614FR |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9955HX3D 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 96.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1230
230.2 IPS |
|
|
Image Classification (F16)
|
100% |
1223
228.8 IPS |
|
|
Image Classification (I8)
|
99% |
2765
517.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1080
18.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1101
18.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1498
25.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
10788
13.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
11099
13.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
32466
39.3 IPS |
|
|
Object Detection (F32)
|
100% |
1301
97.2 IPS |
|
|
Object Detection (F16)
|
100% |
1220
91.1 IPS |
|
|
Object Detection (I8)
|
62% |
1262
94.2 IPS |
|
|
Face Detection (F32)
|
100% |
3017
35.9 IPS |
|
|
Face Detection (F16)
|
100% |
2955
35.1 IPS |
|
|
Face Detection (I8)
|
89% |
3600
42.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
7021
54.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
7063
54.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
15676
121.6 IPS |
|
|
Style Transfer (F32)
|
100% |
19754
26.0 IPS |
|
|
Style Transfer (F16)
|
100% |
20080
26.4 IPS |
|
|
Style Transfer (I8)
|
98% |
27574
36.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2401
85.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2560
91.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2809
100.3 IPS |
|
|
Text Classification (F32)
|
100% |
935
1.34 KIPS |
|
|
Text Classification (F16)
|
100% |
960
1.38 KIPS |
|
|
Text Classification (I8)
|
98% |
592
850.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1644
30.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1644
30.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2073
38.2 IPS |
